Journal of Numerical Analysis and Approximation Theory (Jul 2023)

Book reviews

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Journal volume & issue
Vol. 52, no. 1

Abstract

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Book reviews for: Johan Hoffman, Methods in Computational Science, SIAM, Philadelphia, 2021, xvi + 396 pp., ISBN 978-1-61197-671-7 (paperback), ISBN 978-1-61197-672-4 (ebook). Part of the Computational Science and Engineering series. Reviewed by I. Boros. Guojun Can, Chaoqun Ma, Jianhong Wu, Data Clustering: Theory, Algorithms, and Applications, 2nd ed., SIAM, Philadelphia, 2021, xxiii + 406 pp., ISBN 978-1-61197-632-8 (paperback), ISBN 978-1-61197-633-5 (ebook). Part of the Mathematics in Industry series. Reviewed by I. Boros. Josef Málek, Zdeněk Strakoš, Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs, SIAM, Philadelphia, 2015, IX + 104 pp., ISBN 978-1-61197-383-9 (paperback), ISBN 978-1-61197-384-6 (ebook). Part of the Spotlights series. Reviewed by M. Nechita.